Patents by Inventor Yash Shahapurkar

Yash Shahapurkar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230305574
    Abstract: It is recognized herein that robots or autonomous systems can lose time when computing grasp scores for empty bins. Further, when grasps are attempted on empty bins, for instance due to the related grasp score computations, the robot can lose additional time through being used unnecessarily to attempt the grasp. Such usage can wear on the robot, or damage the robot, in some cases. An autonomous system can classify or determine whether a bin contains an object or is empty, for example, such that a grasp computation is not performed when the bin is empty. In some examples, a system classifies a given bin at runtime before each grasp computation is performed. Thus, systems described herein can avoid performing unnecessary grasp computations, thereby conserving processing time and overheard, among addressing other technical problems.
    Type: Application
    Filed: March 10, 2023
    Publication date: September 28, 2023
    Applicant: Siemens Aktiengesellschaft
    Inventors: Ines Ugalde Diaz, Eugen Solowjow, Yash Shahapurkar, Husnu Melih Erdogan, Eduardo Moura Cirilo Rocha
  • Publication number: 20220391565
    Abstract: A method for automatically generating a bill of process in a manufacturing system comprising: receiving design information representative of a product to be produced; iteratively performing simulations of the manufacturing system; identifying manufacturing actions based on the simulations; optimizing the identified manufacturing actions to efficiently produce the product to be produced; generating, by the manufacturing system, a bill of process for producing the product. Simulations may be performed using a digital twin of the product being produced and a digital twin of the environment. System actions are optimized using a reinforcement learning technique to automatically produce a bill of process based on the design information of the product and task specifications.
    Type: Application
    Filed: May 25, 2022
    Publication date: December 8, 2022
    Inventors: Chengtao Wen, Juan L. Aparicio Ojea, Ines Ugalde Diaz, Gokul Narayanan Sathya Narayanan, Eugen Solowjow, Wei Xi Xia, Yash Shahapurkar, Shashank Tamaskar, Heiko Claussen
  • Publication number: 20220297295
    Abstract: A computer-implemented method for designing execution of a process by a robotic cell includes obtaining a process goal and one or more process constraints. The method includes accessing a library of constructs and a library of skills. Each construct includes a digital representation of a component of the robotic cell or a geometric transformation of the robotic cell. Each skill includes a functional description for using a robot of the robotic cell to interact with a physical environment to perform a skill objective. The method uses a simulation engine to simulate a multiplicity of designs, wherein each design is characterized by a combination of constructs and skills to achieve the process goal, and determine a set of feasible designs that meet the one or more process constraints. The method includes outputting recommended designs from the set of feasible designs.
    Type: Application
    Filed: February 8, 2022
    Publication date: September 22, 2022
    Inventors: Juan L. Aparicio Ojea, Heiko Claussen, Ines Ugalde Diaz, Yash Shahapurkar, Eugen Solowjow, Chengtao Wen, Wei Xi Xia, Gokul Narayanan Sathya Narayanan, Shashank Tamaskar